STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Image Processing & Pattern Recognition Progress

An Approach for Similarity Matching and Comparison in Content Based Image Retrieval System

  1. Numa Bajaj
  2. Jagbir Singh Gill
  3. Rakesh Kumar

Abstract

Today, in the age of images and digitization relevant retrieval is quite a topic of research. With every new day thousands of pictures are getting added into the database making it a high dimensional data set. Therefore, from a high dimensional dataset to get a set of relevant images is quite a cumbersome task. In this paper, experiment has been performed on the trademark images. Trademark is a very important asset for any organization and increasing trademark images have developed a quick need to organize these images. This paper includes the implementation of HSV model for fast retrieval which use color and texture so as to extract feature vector. Experiment takes query image and retrieve twelve most relevant images to the user. Further for performance evaluation parameter used is Precision and Recall.Cite this ArticleNuma Bajaj, Jagbir Singh Gill, Rakesh Kumar. An Approach for Similarity Matching and Comparison in Content Based Image Retrieval System. Journal of Image Processing & Pattern Recognition Progress. 2015; 2(3): 57–63p.

Keywords

Support